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Phenolic Profile as a Powerful Machine Learning Tool for Identification, Traceability, and Quality Control of Olive Cultivars

Year: 2025

Type: article

Source: Journal of Agricultural and Food Chemistry

DOI: 10.1021/acs.jafc.5c04262

Authors: Fabiola Eugelio, Marcello Mascini, Elettra Marone, Federico Fanti, Sara Palmieri, Manuel Sergi, Michele Del Carlo, Dario Compagnone

Institutions: University of Teramo, Sapienza University of Rome

Language: English

Topic: Edible Oils Quality and Analysis

Subfield: Organic Chemistry

Field: Chemistry

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: closed

Funder: Ministero dell’Istruzione, dell’Università e della Ricerca

Award: G8042189417

OpenAlex ID: W4414017527

FWCI:

Cites: 57

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Related to: 10